Mining tree-query associations in graphs

Details Mining tree-query associations in graphs Mining tree-query associations in graphs

2010-08-16

arxiv.org/abs/1008.2626v1

Computer Science

Databases

Full version of two earlier conference papers presented at KDD 2005 and ICDM 2006

Scientific paper

New applications of data mining, such as in biology, bioinformatics, or sociology, are faced with large datasetsstructured as graphs. We introduce a novel class of tree-shapedpatterns called tree queries, and present algorithms for miningtree queries and tree-query associations in a large data graph. Novel about our class of patterns is that they can containconstants, and can contain existential nodes which are not counted when determining the number of occurrences of the patternin the data graph. Our algorithms have a number of provableoptimality properties, which are based on the theory of conjunctive database queries. We propose a practical, database-oriented implementation in SQL, and show that the approach works in practice through experiments on data about food webs, protein interactions, and citation analysis.

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